scipy.sparse.csgraph.csgraph_masked_from_dense

scipy.sparse.csgraph.csgraph_masked_from_dense(graph, null_value=0, nan_null=True, infinity_null=True, copy=True)

Construct a masked array graph representation from a dense matrix.

New in version 0.11.0.

Parameters

grapharray_like

Input graph. Shape should be (n_nodes, n_nodes).

null_valuefloat or None (optional)

Value that denotes non-edges in the graph. Default is zero.

infinity_nullbool

If True (default), then infinite entries (both positive and negative) are treated as null edges.

nan_nullbool

If True (default), then NaN entries are treated as non-edges

Returns

csgraphMaskedArray

masked array representation of graph

Examples

>>> from scipy.sparse.csgraph import csgraph_masked_from_dense

>>> graph = [
... [0, 1 , 2, 0],
... [0, 0, 0, 1],
... [0, 0, 0, 3],
... [0, 0, 0, 0]
... ]

>>> csgraph_masked_from_dense(graph)
masked_array(
  data=[[--, 1, 2, --],
        [--, --, --, 1],
        [--, --, --, 3],
        [--, --, --, --]],
  mask=[[ True, False, False,  True],
        [ True,  True,  True, False],
        [ True,  True,  True, False],
        [ True,  True,  True,  True]],
  fill_value=0)

scipy.sparse.csgraph.csgraph_from_masked scipy.sparse.csgraph.csgraph_to_dense